Morphological effects of input data quantity in AI-powered dental crown design.

Journal: Journal of dentistry
Published Date:

Abstract

OBJECTIVES: This retrospective in vitro study evaluated the impact of input data quantity on the morphology of dental crowns generated by AI-based software. The hypothesis suggests that increased input data quantity improves the quality of generated occlusal surfaces.

Authors

  • Alexander Broll
    Department of Prosthetic Dentistry, University Hospital Regensburg, Regensburg, Germany.
  • Markus Goldhacker
    Faculty of Mechanical Engineering, OTH Regensburg, Regensburg, Germany.
  • Sebastian Hahnel
    Department of Prosthetic Dentistry, University Hospital Regensburg, Regensburg, Germany.
  • Martin Rosentritt
    Department of Prosthetic Dentistry, University Hospital Regensburg, 93051 Regensburg, Germany. martin.rosentritt@ukr.de.

Keywords

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